On-line wear estimation using neural networks

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 212, Issue 2, 1998, Pages 105-112

  Ghasempoor, A ^a   Moore, T N ^a   Jeswiet, J ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Neural networks; On line; Tool; Turning; Wear

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; METAL CUTTING; NEURAL NETWORKS; TOOLS; TURNING;

ON-LINE ESTIMATION;

WEAR OF MATERIALS;

EID: 0031704726     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954405971515537     Document Type: Article

References (25)

1. El Gomayel, J. I. and Bregger, K. D. On-line tool wear sensing for turning operations. Trans ASME, J. Engng for Industry, 1986, 108, 44-47.
2. Giusti, F., Santochi, M. and Tantussi, G. On-line sensing of flank and crater wear of cutting tools. Ann. CIRP, 1987, 36, 41-44.
3. Du, R., Elbestawi, M. A. and Wu, S. M. Automated monitoring of manufacturing processes, Part 1 and Part 2. J. Engng for Industry, 1995, 117, 121-141.
4. Wright, P. K. Physical models of tool wear for adaptive control in flexible machining cells. In ASME Winter Annual Meeting, Boston, Massachusetts, 1983, pp. 19-31.
5. Konig, W., Langhammer, K. and Schemmel, H. U. Correlation between cutting force components and tool wear. Ann. CIRP, 1972, 21, 19-20.
6. Mackinnon, R., Wilson, G. E. and Wilkinson, A. J. Tool condition monitoring using multi-component force measurements. In Proceedings of the Twenty-sixth International Machine Tool Design and Research Conference, 1986, pp. 317-324.
7. Micheletti, G. F., De Fillipi, A. and Ippolito, R. Tool wear and cutting forces in steel turning. Ann. CIRP XVI, 1968, 353-360.
8. Dan, L. and Mathew, J. Tool wear and failure monitoring techniques for turning - a review. Int. J. Mach. Tools Mfg, 1990, 30(4), 579-598.
9. Danai, K. and Ulsoy, A. G. A dynamic state model for on-line tool wear estimation in turning. Trans ASME, J. Engng for Industry, 1987, 109, 396-399.
10. Koren, Y. and Lenz, E. Mathematical model for the flank wear while turning steel with carbide tools. In Proceedings of the CIRP Seminars on Manufacturing Systems, 1972, Vol. 1(2).
11. Koren, Y. and Masory, O. Adaptive control with process estimation. Ann. CIRP, 1981, 30(1), 373-376.
12. Sata, T., Shima, A., Shiota, Y., Takeda, K. and Satake, K. A newly developed adaptive control of the turning process. In Proceedings of the CIRP Seminars on Manufacturing Systems, 1973, Vol. 2(1), pp. 71-83.
13. Koren, Y., Ko, T. R., Danai, K. and Ulsoy, A. G. Flank wear estimation under varying cutting conditions. Trans. ASME, J. Dynam. Systems, Measmt and Control, 1991, 300-307.
14. Park, J. J. and Ulsoy, A. G. On-line flank wear estimation using an adaptive observer and computer vision, Part 1: theory. Trans. ASME, J. Engng for Industry, 1993, 115, 30-36.
15. Elanayar, S. V. T. and Shin, Y. C. Machining condition monitoring for automation using neural networks. In ASME Winter Annual Meeting, Dallas, Texas, 1990, pp. 85-100.
16. Khanchustambham, R. G. and Zhang, G. M. A neural network approach to on-line monitoring of turning process. In International Conference on Neural Networks, Baltimore, Maryland, 1992, pp. 889-894.
17. Elanayar, S. V. T. and Shin, Y. C. Robust tool wear estimation via radial basis function neural networks. In ASME Winter Annual Meeting, Anaheim, California, 1992, pp. 37-51.
18. Purushothaman, S. and Srinivasa, Y. G. A back-propagation algorithm applied to tool wear monitoring. Int. J. Mach. Tools Mfg, 1994, 34(5), 625-631.
19. Tarng, Y. S., Hseih, Y. W. and Hwang, S. T. Sensing tool breakage in face milling with a neural network. Int. J. Mach. Tools Mfg, 1994, 34(3), 341-350.
20. Park, J. J. and Ulsoy, A. G. On-line tool wear estimation using force measurement and a nonlinear observer. In ASME Winter Annual Meeting, San Francisco, California, 1989, pp. 55-63.
21. Hush, D. R. and Horne, B. G. Progress in supervised neural networks. IEEE Signal Processing Mag., 1993, 8-39.
22. Narendra, K. S. and Parthasarathy, K. Gradient methods for the optimization of dynamical systems containing neural networks. IEEE Trans. on Neural Networks, 1991, 2(2), 252-262.
23. Rumelhart, D. and Mcclelland, J. Parallel Distributed Processing, Vol. 1,1986 (MIT Press, Cambridge, Massachusetts).
24. Oraby, S. E. and Hayhurst, D. R. Development of models for tool wear force relationships in metal cutting. Int. J. Mech. Sci., 1991, 33(2), 125-138.
25. Ghasempoor, A., Moore, T. N. and Jeswiet, J. On-line flank wear estimation using neural networks. In Proceedings of the Advanced Manufacturing Processes, Systems and Technologies Conference, Bradford, UK, 1996, pp. 173-181.